New Construction Property Scraper

Tracking new builds usually means refreshing builder websites one by one, or paying a portal for a feed you can barely export. This scraper does that legwork for you. Hand it a ZIP code or a state and it returns the homes that are newly built or still going up, each as a clean row: asking price, full street address, beds and baths, square footage, completion year, builder contacts, coordinates, and photos. One run gives you a new-construction dataset you can drop straight into a spreadsheet or a model.

What you get

Every property comes back as one flat row, so the columns line up the moment you load results into a sheet or database. The fields fall into a handful of groups:

• Identity and status — propertyId, listingId, listingSlug, listingStatus, isNewBuild, plus lifecycle flags like isPending, isContingent, isAuction, isFreshListing, isPriceReduced
• Price and dates — askingPrice, closingPrice, priceDropAmount, listedOn, closedOn
• Property details — homeCategory, homeSubCategory, bedroomCount, bathroomCount, interiorArea, lotArea, yearCompleted, garageSpaces, hasMatterport
• Location — streetAddress, cityName, stateName, stateCode, zipCode, geoLat, geoLng, countyName, countyFips, streetViewUrl
• Media — heroPhotoUrl, photoCount, photoGallery
• Builder and source — builderName, builderEmail, builderPhones, coListerName, brandLabel, feedName, communityPromotions, openHouseDates

Quick start

1. Press Try for free to open the input form.
2. Type a location into at least one of ZIP code, City, or State abbreviation.
3. Add any filters you want, such as price range, bedroom count, or home category.
4. Set a Total listings cap to control spend, pick a proxy, then press Start.
5. When the run finishes, export the data as JSON, CSV, Excel, or XML.

Use cases

• Buyer matching — pull every active new build in one ZIP code and pair clients with floor plans that fit their budget
• Builder lead lists — gather builder names, emails, and phone numbers tied to fresh developments in your market
• Inventory tracking — schedule a daily run to catch new construction the moment it lists across your target areas
• Pricing research — export askingPrice, interiorArea, and yearCompleted to benchmark new-build pricing per square foot
• Investment screening — filter by price, beds, square footage, and completion year to shortlist builds that match your model
• Mortgage and lending outreach — find newly completed homes and reach buyers early in their financing window

Input

Field	Type	Required	Description
zipCode	string	One of zipCode, cityName, stateCode, or addressLine	Single 5-digit US ZIP code, the tightest location filter. Example 78613.
stateCode	string	One of zipCode, cityName, stateCode, or addressLine	Two-letter US state code, best paired with another filter. Prefilled TX.
cityName	string	One of zipCode, cityName, stateCode, or addressLine	Exact city name; pair with stateCode for clean results. Prefilled Austin.
streetName	string	Optional	Limit results to homes on one named street, e.g. Builder Way.
addressLine	string	Optional	One precise street address line.
homeCategories	array of strings	No	Keep only chosen property categories, e.g. single_family, condo_townhome.
featureKeywords	array of strings	No	Filter by amenities such as pool, central_air, hardwood_floors.
bedroomsFrom / bedroomsTo	integer	No	Smallest and largest bedroom counts to keep.
bathroomsFrom / bathroomsTo	integer	No	Smallest and largest bathroom counts to keep.
askingPriceFrom / askingPriceTo	integer	No	Asking price range in USD.
closingPriceFrom / closingPriceTo	integer	No	Closing price range in USD.
closedOnFrom / closedOnTo	string	No	Closed-sale date window, written YYYY-MM-DD.
interiorAreaFrom / interiorAreaTo	integer	No	Interior living area range in square feet.
lotAreaFrom / lotAreaTo	integer	No	Lot size range in square feet.
yearCompletedFrom / yearCompletedTo	integer	No	Completion year range; raise the floor to focus on the newest builds.
hoaFeeCap	integer	No	Largest monthly HOA fee to allow.
skipHoa	boolean	No	Return only homes with no HOA fee. Default false.
openHouseFrom / openHouseTo	string	No	Open-house date window, written YYYY-MM-DD.
pageSize	integer	No	Listings fetched per request. Default 150.
startOffset	integer	No	Position where pagination begins. Default 0.
resultsLimit	integer	No	Hard cap on total listings collected. Default 3000.
runTimeoutSeconds	integer	No	Whole-run time budget in seconds. Default 360.
requestTimeoutSeconds	integer	No	Per-request time budget in seconds. Default 45.
proxyConfiguration	object	No	Proxies used for requests. Defaults to US datacenter.

Example input

{
    "stateCode": "TX",
    "cityName": "Austin",
    "homeCategories": ["single_family", "condo_townhome"],
    "askingPriceTo": 850000,
    "bedroomsFrom": 3,
    "yearCompletedFrom": 2023,
    "resultsLimit": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyCountry": "US"
    }
}

Output

Each new-construction home becomes one flat JSON row. Every declared field is present on a normal row, and unavailable values come back as null or empty so your dataset stays rectangular.

Example output

{
    "feedAttribution": true,
    "propertyId": "9482736150",
    "listingId": "2967451308",
    "listingSlug": "1200-Model-Home-Blvd_Austin_TX_78613_M94827-36150",
    "listingStatus": "for_sale",
    "askingPrice": 549000,
    "closingPrice": null,
    "priceDropAmount": 10000,
    "listedOn": "2026-05-18",
    "closedOn": "",
    "homeCategory": "single_family",
    "homeSubCategory": "",
    "bedroomCount": 4,
    "bathroomCount": "3",
    "interiorArea": 2480,
    "lotArea": 6100,
    "yearCompleted": 2025,
    "garageSpaces": 2,
    "streetAddress": "1200 Model Home Blvd",
    "cityName": "Austin",
    "stateName": "Texas",
    "stateCode": "TX",
    "zipCode": "78613",
    "geoLat": 30.5052,
    "geoLng": -97.8203,
    "countyName": "Williamson County",
    "countyFips": "48491",
    "streetViewUrl": "https://maps.googleapis.com/maps/api/streetview?location=30.5052,-97.8203",
    "heroPhotoUrl": "https://ap.rdcpix.com/example/cover-2x.jpg",
    "photoCount": 28,
    "photoGallery": [
        "https://ap.rdcpix.com/example/photo-1.jpg",
        "https://ap.rdcpix.com/example/photo-2.jpg"
    ],
    "hasMatterport": true,
    "isComingSoon": false,
    "isFreshListing": true,
    "isPriceReduced": false,
    "isNewBuild": true,
    "isPending": false,
    "isContingent": false,
    "isAuction": false,
    "isFractionalOwnership": false,
    "feedId": "ACTRIS",
    "feedName": "Austin Board of Realtors",
    "feedType": "mls",
    "feedListingId": "T1234567",
    "offersAgentContact": true,
    "marketSegment": "for_sale",
    "leadCategory": "advantage",
    "isVaEligible": true,
    "productTags": ["co_broke"],
    "productBrand": "essentials",
    "builderRole": "seller",
    "builderName": "Highland Homes",
    "builderEmail": "sales@highlandhomes.example.com",
    "builderOffice": "Highland Homes Cedar Park",
    "builderPhones": ["5125550142"],
    "coListerRole": null,
    "coListerName": null,
    "coListerEmail": null,
    "coListerOffice": null,
    "coListerPhones": [],
    "brandLabel": "Highland Homes",
    "searchPromotions": [],
    "communityPromotions": [
        {
            "headline": "Move-in ready incentives",
            "promotion_type": "incentive"
        }
    ],
    "openHouseDates": [
        {
            "start_date": "2026-06-07T17:00:00Z",
            "end_date": "2026-06-07T20:00:00Z",
            "description": "Model home tour",
            "time_zone": "America/Chicago"
        }
    ],
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
feedAttribution	boolean	Source attribution flag from the listing feed
propertyId	string	Stable internal identifier for the property
listingId	string	Identifier of the specific listing
listingSlug	string	URL slug for the listing
listingStatus	string	Current state, such as for_sale or ready_to_build
askingPrice	integer	Current listed asking price in USD
closingPrice	integer	Final closing price in USD, on closed homes only
priceDropAmount	integer	How far the asking price has been reduced, in USD
listedOn	string	ISO 8601 date the listing went live
closedOn	string	ISO 8601 date the sale closed, when applicable
homeCategory	string	Top-level property type, e.g. single_family
homeSubCategory	string	Finer property classification
bedroomCount	integer	Number of bedrooms
bathroomCount	string	Consolidated bathroom count
interiorArea	integer	Interior living area in square feet
lotArea	integer	Outdoor lot size in square feet
yearCompleted	integer	Year construction was finished
garageSpaces	integer	Number of garage spaces
streetAddress	string	Full street address line
cityName	string	City the property sits in
stateName	string	Full state name
stateCode	string	Two-letter US state code
zipCode	string	ZIP or postal code
geoLat	number	Latitude of the property
geoLng	number	Longitude of the property
countyName	string	County the property falls under
countyFips	string	County FIPS code
streetViewUrl	string	Link to a street-level map preview
heroPhotoUrl	string	Direct link to the headline photo
photoCount	integer	How many photos accompany the listing
photoGallery	array	Direct image URLs for the property
hasMatterport	boolean	True when a Matterport 3D tour is attached
isComingSoon	boolean	True when marked coming soon
isFreshListing	boolean	True when flagged as a recently added listing
isPriceReduced	boolean	True when the price recently dropped
isNewBuild	boolean	True when the home is newly constructed
isPending	boolean	True when the sale is pending
isContingent	boolean	True when the sale is contingent
isAuction	boolean	True when sold at auction
isFractionalOwnership	boolean	True when ownership is fractional
feedId	string	Identifier of the originating feed
feedName	string	Name of the originating feed, e.g. the local MLS or builder feed
feedType	string	Type of the originating feed
feedListingId	string	Listing ID in the source feed
offersAgentContact	boolean	Whether a contact-an-agent action is offered
marketSegment	string	Lead market classification
leadCategory	string	Lead type for the listing
isVaEligible	boolean	True when flagged Veterans United eligible
productTags	array	Distribution products attached to the listing
productBrand	string	Brand name tied to the products
builderRole	string	Role of the primary listing party
builderName	string	Name of the primary listing party, often the builder
builderEmail	string	Email for the primary listing party
builderOffice	string	Office handling the primary listing party
builderPhones	array	Phone numbers for the primary listing party
coListerRole	string	Role of the secondary listing party
coListerName	string	Name of the secondary listing party
coListerEmail	string	Email for the secondary listing party
coListerOffice	string	Office handling the secondary listing party
coListerPhones	array	Phone numbers for the secondary listing party
brandLabel	string	Affiliated agent or builder branding label
searchPromotions	array	Search-level promotions attached to the listing
communityPromotions	array	Community-level promotions, common on new developments
openHouseDates	array	Scheduled open house entries with times and notes
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a row failed; null on success

Tips for best results

• Always set a location. Give the scraper at least one of zipCode, cityName, stateCode, or addressLine, or it has nothing to search against.
• Start small. Drop resultsLimit to 50 or so on your first run to confirm the fields match your pipeline before pulling thousands.
• Combine cityName with stateCode. A city on its own can match across several states; pairing the two keeps results tight.
• Raise the yearCompletedFrom floor to the current year or last year when you only want the freshest builds.
• Switch proxy tiers if requests start failing. US datacenter clears most runs; move to residential if you hit repeated errors.
• Give slower proxies more headroom by pushing requestTimeoutSeconds toward 60 to 90 and loosening runTimeoutSeconds for large states.

How can I use new construction property data?

How can I use the New Construction Property Scraper to build a buyer match list? Enter a target ZIP code or city and the scraper returns every active new build there, each with the street address, asking price, beds and baths, completion year, and the builder's name, email, and phone. Filter by homeCategories and price range, then export the rows straight into your CRM to pair clients with the right floor plans.

How can I track new construction inventory across a whole state? Pass a stateCode such as TX, raise resultsLimit, and the scraper paginates through the available inventory and hands back one row per home. Sort by listedOn or watch isFreshListing to surface the homes that just hit the market.

How can I research new-build pricing per square foot? Pull askingPrice, interiorArea, and yearCompleted for your area, then divide price by interior area to compare builders and neighborhoods. Group the rows by cityName or zipCode to see where new construction is priced highest.

How can I monitor new developments automatically? Save your filters and schedule the run on Apify to repeat daily. Each run captures collectedAt along with flags like isFreshListing and isNewBuild, so you can diff against yesterday's dataset and flag freshly listed builds as they appear.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.